Systems | Development | Analytics | API | Testing

In an era of economic uncertainty and rapid digital transformation, finance and accounting professionals face a paradox: their data has never been more abundant, yet access to it has never been more challenging. Kevin Gibson, CPA and Principal Solutions Engineer at insightsoftware, recently sat down with Scott Taylor on an episode of the Don’t Panic!

TL;DR: Claude Code writes features fast, but you need integration tests. With proxymock MCP, Claude Code can pull real production traffic and validate your changes automatically—one prompt, no manual setup. Watch it catch bugs before production.

Every year, KubeCon offers a candid look at where the cloud-native community stands — the tools gaining traction, the pain points teams share, and the big gaps still holding organizations back. After a week of deep conversations, session hopping, and talking to dozens of platform teams, one theme became impossible to ignore: Platform engineering still isn’t doing enough testing. And even more surprising: many teams don’t think testing is their responsibility.

It’s a common idea across the tech industry: AI is fueling a new wave of technological innovation. Test automation is no exception. Over three decades, enterprise QA customers have turned to Tricentis Tosca to transform inefficient testing practices with model-based automation. Now, the company you’ve relied on for scalable, codeless test automation is entering a new era of agentic testing with Tosca’s cloud deployment as its foundation.

Cowboy is a small, fast, and modern HTTP server for Erlang/OTP. It particularly shines when handling multiple concurrent connections with minimal overhead. This makes it a perfect choice for building lightweight, real-time streaming services. In this article, we’ll build a tiny real-time text pub/sub server using Cowboy. Our service supports HTTP-based publishing, allowing clients to subscribe using either WebSockets or Server-Sent Events (SSE).

‍ Healthcare isn’t broken because of a lack of technology. It’s broken because most of the tech running hospitals today is outdated, overloaded, or barely held together with patches. Talk to any healthcare CIO and you’ll hear something like: “Our EHR is older than half our staff, the vendor sunset half the modules, and our IT team hasn’t slept since last quarter.” This isn’t drama, it’s reality.

‍ Healthcare’s most significant bottleneck in 2025 isn’t technology, it’s people. Across hospitals and clinics, staff shortages, burnout, and scheduling chaos are threatening the quality of care and driving operational costs upward. The U.S. alone is projected to face a shortfall of up to 3.2 million healthcare workers by 2026, according to Mercer.

Note: This article is the third instalment in a four-part series. Check out the first two posts here:- Why we ditched frontier AI agents and built our own- Building Bitrise’s context-aware, browser-integrated AI copilot that keeps engineers in control.

If you’ve worked in QA long enough, you’ve seen how much testing has changed inside Jira. What started as a mix of spreadsheets, manual checklists, and endless review cycles has grown into fully integrated Test Management workflows. But even with automation, some challenges never went away. Writing test cases from requirements still takes time.

APIs are no longer just simple integration interfaces. As AI models, agents, and digital ecosystems become increasingly interlinked, APIs have become products. They have their own usage patterns, costs, and business implications. To make informed, data-driven, and business decisions, you require deep visibility into your systems. To address these challenges, the latest v4.6.0 release of WSO2 API Manager includes a dedicated API intelligence engine, powered by Moesif.